Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
import pandas as pd
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
# YOUR CODE HERE
df_2007 = df[
df.year == 2007
]
df_2007_continent = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_continent,x='pop',y=df_2007_continent.index,color=df_2007_continent.index)
fig = fig.update_layout(barmode='stack',showlegend=False)
fig.show()
# YOUR CODE HERE
df_2007 = df[
df.year == 2007
]
df_2007_continent = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_continent,x='pop',y=df_2007_continent.index,color=df_2007_continent.index)
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'})
fig.show()
Add text to each bar that represents the population
# YOUR CODE HERE
df_2007 = df[
df.year == 2007
]
df_2007_continent = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_continent,x='pop',y=df_2007_continent.index,color=df_2007_continent.index,text_auto=True)
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'},showlegend=False)
fig.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
df_year = df.groupby(['year','continent'])['pop'].sum().reset_index()
# YOUR CODE HERE
fig = px.bar(df_year,x='pop',y='continent',color='continent',animation_frame='year',range_x=[0,4000000000])
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'},showlegend=False)
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
# YOUR CODE HERE
df_country = df.groupby(['year','country'])['pop'].sum().reset_index()
fig = px.bar(df_country,x='pop',y='country',color='country',animation_frame='year',range_x=[0,1500000000])
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'},showlegend=False)
fig.show()
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
# YOUR CODE HERE
df_country = df.groupby(['year','country'])['pop'].sum().reset_index()
fig = px.bar(df_country,x='pop',y='country',color='country',animation_frame='year',range_x=[0,1500000000],height=1000)
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'},showlegend=False)
fig.show()
# YOUR CODE HERE
df_country = df.groupby(['year','country'])['pop'].sum().reset_index()
fig = px.bar(df_country,x='pop',y='country',color='country',animation_frame='year',range_x=[0,1500000000],range_y=[132,142])
fig = fig.update_layout(barmode='stack',yaxis={'categoryorder':'total ascending'},showlegend=False)
fig.show()